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The use of a neural network for the ultrasonographic estimation of fetal weight in the macrosomic fetus

  • Author Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Richard M. Farmer
    Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Affiliations
    Los Angeles, California
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  • Author Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Arnold L. Medearis
    Correspondence
    Reprint requests: Arnold L. Medearis, MD, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital, Room 5K40, 1240 N. Mission Road, Los Angeles, CA 90033.
    Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Affiliations
    Los Angeles, California
    Search for articles by this author
  • Author Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Greigh I. Hirata
    Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Affiliations
    Los Angeles, California
    Search for articles by this author
  • Author Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Lawrence D. Platt
    Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
    Affiliations
    Los Angeles, California
    Search for articles by this author
  • Author Footnotes
    a From the Division of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Southern California School of Medicine, Los Angeles County-University of Southern California Medical Center, Women's Hospital.
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      The error associated with regression analysis methods for the ultrasonographic estimation of fetal weight in the suspected macrosomic fetus, approximately 10%, is clinically unacceptable. This study was undertaken to evaluate the applicability of an emerging technique, biologically simulated intelligence, to this problem. One hundred patients with suspected macrosomic fetuses underwent ultrasonographic measurements of biparietal diameter, head and abdominal circumference, femur length, abdominal subcutaneous tissue, and amniotic fluid index. The biologically simulated intelligence model included gestational age, fundal height, age, gravidity, and height. The model was then compared with results obtained from previously published formulas relying on the abdominal circumference and femur length. The biologically simulated intelligence yielded an average error of 4.7% from actual birth weight, statistically better (p = 0.001) than the results obtained from regression models.

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